Sameer Kumar

Artificial Intelligence · with Wang · 2019–2022

A researcher in the Science corpus: 4 papers; trusts 77 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sameer Kumar trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Noam Shazeer
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Yoshua Bengio
  5. Alex Krizhevsky
  6. Diederik P. Kingma
  7. Ilya Sutskever
  8. Yann LeCun
  9. Sepp Hochreiter
  10. Ross B. Girshick

Who trusts Sameer Kumar overall

  1. Yi Tay
  2. Sven Gowal

Papers from Sameer Kumar's perspective

Ordered by how strongly the researchers Sameer Kumar trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Long Short-Term Memory
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers